Not only can you label data with metadata to be best matched, but you can fully manage where and how data is identified using Named Entity Recognition, Natural Language Processing, Tabular, Longform Paragraph, Header, Compound Clause, and Stemmed Matches.
If you want to find out more about how we can help you handle your Metadata, click here Request a demo.
Leading the way in artificial intelligence, Semantic Evolution focuses on Intelligent Data Extraction.
Many businesses are required to interrogate, extract and organize data as core processes. About 80% of this data is unstructured, meaning it is buried in documents and hard to access.
Semantic Evolution helps firms address all parsing needs and transforms data into actionable information. A proven concept, the technology has been adopted by firms globally.
By using Semantic Evolution to automate the data extraction process, companies have experienced efficiency gains, data coverage improvements and reduction in processing times. Semantic Evolution provides opportunities to improve data quality, free up resources and save costs to deliver a rapid ROI for any industry.
